Fullstack Product Engineer / React + Node / Onsite (Flatiron NYC)

Comp: $150K-$300K + highly competitive equity
Experience: 3-10 years building 0?1 products
Visa: Available

A fast-growing AI company in NYC (Flatiron) backed by top-tier investors recently raised a $30M Series A and is building end-to-end AI systems for accounting and finance workflows. The team is scaling quickly and is hiring a Fullstack Product Engineer to own major product surfaces and ship real, production-grade features used by customers daily.

• Own product features end-to-end-from idea ? design ? build ? deploy.

• Architect full-stack systems spanning frontend, backend, and APIs.

• Work closely with users and internal teams to shape product direction.

• Drive high-quality execution in a fast, iterative environment.

• Contribute to engineering culture and mentor teammates.

• Deep experience in at least one full-stack language + strong product sense.

• Background in high-velocity environments (early-stage startup or quant-style engineering team).

• Demonstrated ownership and meaningful impact in past roles.

• Strong tenure (2+ years) and evidence of progression.

• Strong academic foundation (top global university, strong GPA).

• Passionate about solving complex problems in a collaborative, in-person setting.

• Product management instincts: user research, iteration, feedback loops.

• Experience with AI/LLM-integrated products.

• Backed by world-class ML + fintech investors.

• 10× revenue growth in the past 5 months.

• High ownership from day one; build at the edge of ML + finance.

• Work alongside top engineers, ML researchers, and domain experts-all on-site in NYC.

• High risk, high reward environment with significant equity.

1. Initial recruiter screen

2. Founder/lead screening

3. Coding interview

4. Technical deep-dive or live coding

5. Onsite (3-4 hours) covering technical, communication, and culture fit

6. References

If you're excited to build ambitious AI products and want to own meaningful surface area in a rapidly scaling environment, this role is for you.